Arpan Sen

• Lead 7-member cross-functional Data & AI team (NLP, Data Engineering, BI, QA) reporting to VP Engineering. • Own the core Kafka-based ELT pipeline processing hundreds of thousands of hospitality reviews daily, powering dashboards for 20,000+ DAU with 99% uptime. • Act as primary engineering liaison for embedded BI provider, ensuring platform reliability, performance alignment, and timely escalation of critical issues. • Led the Data & AI work-stream during full platform rebuild; migrated 50% of revenue-generating customers within one year. • Launched LLM-driven summarisation capabilities across the platform and conversational data agent workflows. • Awarded TrustYou Impact Award.

• Led deployment of multilingual sentiment analytics (23 languages) across hospitality domains. • Migrated from legacy rule-based Aspect-Based Sentiment Analysis (ABSA) to transformer-based architecture, improving precision & recall by 10%+ for core languages. • Introduced a new LLM-powered review response generation tool, improving customer operational efficiency by ~70%. • Managed external data annotation vendors and model quality workflows.

• Enhanced legacy multilingual ABSA systems and expanded sentiment intelligence to new domains. • Contributed to transformer-based ABSA experimentation and architectural transition planning. • Mentored working students and junior contributors, providing technical guidance and supporting their professional development.

• Led a team of Data Scientists, driving collaboration and timely delivery of NLP initiatives. • Translated product use cases into production-ready NLP models while coordinating closely with Engineering, Product, Consulting, and Data Annotation teams. • Communicated model insights and outcomes to internal and external stakeholders to support informed product and business decisions. • Co-developed Skill Mapping capability for workforce planning, now a core product feature. • Contributed to scaling the startup from 0 to 50+ enterprise customers and received the “Driving Innovation” and “Awesome Advisor” awards.

• Built large-scale NLP and embedding models (Word2Vec/Doc2Vec) for labor market and news intelligence. • Improved news classification accuracy from ~70% to >90%. • Developed entity-matching models across platforms such as Twitter, LinkedIn, Crunchbase, and RelSci to improve cross-source information retrieval and linkage.

• Developed AI/ML proof-of-concepts in Computer Vision and NLP for enterprise clients. • Built Text-to-SQL system and internal AI chatbot for talent allocation automation. • Awarded Excellence Award in Digital Delivery.

Use case identification, feasibility analysis and business model development for implementing new age Internet of Things (IoT) ideas in verticals such as Automobile, Healthcare, Energy etc.

Developed algorithm based on cryptographic hash functions for ensuring data survivability and confidentiality in Unattended Wireless Sensor Networks (UWSNs).

Graduated with honours in Computer Science and Technology from one of the oldest and prestigious engineering institute in India. During my undergraduate course, I have undertaken couple of projects in wireless sensor network security and deep learning.